各种最小量润滑条件下 Al6082 合金铣削过程的加工性能和可持续性比较

IF 5.3 3区 工程技术 Q1 ENGINEERING, MANUFACTURING
Yusuf Furkan Yapan, Kerim Türkeli, Uğur Emiroğlu, Erkan Bahçe, Alper Uysal
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引用次数: 0

摘要

铝 6082 合金因其独特的特性而被广泛应用于各行各业。然而,由于其延展性高、热膨胀系数大以及容易形成积聚边角,因此机加工性能较差。考虑到这种合金的广泛应用,其加工难度引起了可持续发展的关注。因此,尽管使用各种添加纳米粒子的纳米流体的最小量润滑(MQL)方法已被用于提高加工性能,但石墨烯纳米粒子(GNP)的使用却一直被忽视。此外,还缺乏可持续性评估和优化。本研究首次在 Al6082 合金的铣削加工中使用了添加各种 GNP 的纳米流体(N-MQL)的 MQL 方法,确定了其加工响应(切削温度、切削力、进给力、表面粗糙度和切屑形态)和可持续性指标(碳排放和总加工成本),并与干切削和使用植物切削油的纯 MQL 进行了比较。使用 N-MQL 与采用适当切削参数的干切削相比,切削力提高了 50.6%,进给力提高了 65.4%,切削温度提高了 50.6%,切屑宽度提高了 33.2%,切屑长度提高了 15.3%,表面粗糙度提高了 67.3%,碳排放量降低了 21.5%,加工成本降低了 52.6%。最后,利用 NSGA-II(非优势排序遗传算法 II)和 VIKOR 多标准决策法进行多目标优化,确定了可持续性权衡碳排放和总加工成本的最佳工艺参数。根据基于可持续性的优化结果,确定切削速度应选择在 36 至 40 m/min 之间,进给量应选择在 0.14 至 0.18 mm/rev 之间,并应使用 N-MQL 方法。在高于平均切削速度和进给量的条件下使用 N-MQL 方法是铣削 Al6082 的最可持续的加工参数和条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Machining and Sustainability Performance Comparison for the Milling Process of Al6082 Alloy Under Various Minimum Quantity Lubrication Conditions

Machining and Sustainability Performance Comparison for the Milling Process of Al6082 Alloy Under Various Minimum Quantity Lubrication Conditions

Aluminum 6082 alloys are commonly utilized in significant industries because of their unique characteristics. However, they exhibit poor machinability as a result of their high ductility, high thermal expansion coefficient, and tendency to built-up edge formation. Considering the alloy's widespread usage, the difficulty of machining it raises sustainability concerns. For this reason, although minimum quantity lubrication (MQL) methods using various nanoparticle-added nanofluids have been used to enhance machinability, the use of graphene nanoparticles (GNP) has been ignored. Furthermore, there has been a lack of sustainability assessment and optimization. In the presented study, MQL methods using various GNP-added nanofluid (N-MQL) was used for the first time in the milling of Al6082 alloy, and its machining responses (cutting temperature, cutting force, feed force, surface roughness, and chip morphology) and sustainability indicators (carbon emission and total machining cost) were determined and compared with dry-cutting and pure MQL utilizing vegetable cutting oil. The utilization of the N-MQL, as opposed to the dry-cutting with appropriate cutting parameters, resulted in improvements of 50.6% in cutting force, 65.4% in feed force, 50.6% in cutting temperature, 33.2% in chip width, 15.3% in chip length, 67.3% in surface roughness, 21.5% in carbon emissions, and 52.6% in machining cost. Finally, applying multi-objective optimization using NSGA-II (non-dominant sequencing genetic algorithm II) and the multi-criteria decision-making method using VIKOR, optimum process parameters were determined in terms of sustainability-weighed carbon emissions and total machining cost. From the sustainability-based optimization results, it was determined that the cutting speed should be selected between 36 and 40 m/min, the feed should be selected between 0.14 and 0.18 mm/rev, and the N-MQL method should be used. Using the N-MQL method at above-average cutting speeds and feed values are the most sustainable machining parameters and condition for milling of Al6082.

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来源期刊
CiteScore
10.30
自引率
9.50%
发文量
65
审稿时长
5.3 months
期刊介绍: Green Technology aspects of precision engineering and manufacturing are becoming ever more important in current and future technologies. New knowledge in this field will aid in the advancement of various technologies that are needed to gain industrial competitiveness. To this end IJPEM - Green Technology aims to disseminate relevant developments and applied research works of high quality to the international community through efficient and rapid publication. IJPEM - Green Technology covers novel research contributions in all aspects of "Green" precision engineering and manufacturing.
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